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{"description":"COCO 2017 Dataset","url":"http://cocodataset.org","version":"1.0","year":2017,"contr(...TRUNCATED)
[{"url":"http://creativecommons.org/licenses/by-nc-sa/2.0/","id":1,"name":"Attribution-NonCommercial(...TRUNCATED)
[{"license":4,"file_name":"000000397133.jpg","coco_url":"http://images.cocodataset.org/val2017/00000(...TRUNCATED)
[{"segmentation":[[510.66,423.01,511.72,420.03,510.45,416.0,510.34,413.02,510.77,410.26,510.77,407.5(...TRUNCATED)
[{"supercategory":"person","id":1,"name":"person"},{"supercategory":"vehicle","id":2,"name":"bicycle(...TRUNCATED)

COCO 2017 LibreYOLO Assets

This dataset repository hosts small COCO 2017 helper assets used by LibreYOLO dataset YAML files.

Files:

  • instances_val2017.json: official COCO 2017 validation instance annotations.
  • coco2017labels-libreyolo.zip: YOLO-format train/val label files generated by LibreYOLO from the official COCO 2017 instance annotations.

No COCO images are included here. LibreYOLO downloads COCO images from the official COCO image hosts.

License and Attribution

The COCO annotations are licensed by the COCO Consortium under Creative Commons Attribution 4.0. The converted YOLO labels are derived from the official COCO 2017 train/val instance annotations and are provided under the same annotation license.

Attribution: COCO Consortium / Microsoft COCO dataset.

Conversion Notes

The YOLO label zip was generated locally by LibreYOLO from instances_train2017.json and instances_val2017.json.

  • COCO categories are ordered by official category_id, matching LibreYOLO's COCO YAML class order.
  • Bounding boxes are converted from COCO xywh pixels to normalized YOLO class x_center y_center width height rows.
  • iscrowd annotations are omitted.
  • Invalid or empty boxes are omitted.
  • One .txt label file is written for every train/val image, including empty files for images without valid objects.

Checksums

instances_val2017.json
SHA256: E8C7F7908F1D7278341FAE127D0DA654F102F11BD7B21D8AEEFA635B8C810B6F

coco2017labels-libreyolo.zip
SHA256: BDDA16FD74809745D9FC303335DAD63E6D1FE85CA53B2C32A49C252587252CBB
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